


The 10th International Symposium on Big Data and Applied Statistics (ISBDAS 2027) will be held from March 12 to 14, 2027, in Guangzhou, China. This conference aims to establish a high-level platform for global experts, engineers, researchers, and industry professionals in "Big Data" and "Applied Statistics" to share cutting-edge research and technological innovations, track academic trends, broaden research perspectives, foster in-depth scholarly collaboration, and accelerate industrial partnerships for academic achievements. ISBDAS has built a strong legacy with past editions held in: Guangzhou (2025, 2018), Beijing (2024), Shanghai (2023), Xining (2022), Dali (2021), Kunming (2020) and Dalian (2019). We cordially invite experts, scholars, industry representatives, and professionals worldwide to participate in this grand event, collectively propelling innovation and advancement in Big Data and Applied Statistics!
🗓︎Important Dates
Full Paper Submission Date: December 28, 2026
Notification of Acceptance Date: January 26, 2027
Final Paper Submission Date: February 12, 2027
Conference Dates: March 12-14, 2027
🗺︎Venue

Guangzhou, China
📚︎ Track 1: Big Data and Intelligent Computing
Big Data Analytics and Data Mining; Big Data Models and Algorithms; Data Collection and Governance; Information Retrieval; Distributed and High-Performance Computing; Cloud Computing and Edge Computing; Machine Learning and Deep Learning; Federated Learning and Privacy-Preserving Computing; Text Mining and Knowledge Reasoning; Data Security and Privacy Protection; Big Data Applications in Internet of Things and Smart Cities
📚︎ Track 2: Statistical Theory, Methods and Applications
Statistical Computing for Big Data; High-Dimensional Statistics; Bayesian Statistics and Computation; Nonparametric and Semiparametric Statistics; Causal Inference; Statistical Learning; Multivariate Statistics; Time Series Analysis; Spatial and Spatio-Temporal Statistics; Network Data Analysis; Clustering and Classification; Pattern Recognition; Multi-Source Data Fusion; Reliability Analysis and Predictive Models; Uncertainty Analysis and Quantification; Risk Statistics and Safety Assessment; Anomaly Detection and Security Data Analytics; Statistical Applications in Energy, Power Systems, Communications and Engineering
📚︎ Track 3: Data Science and Computational Methods
Probabilistic Models and Stochastic Processes; Computational Intelligence and Optimization Methods; Intelligent Decision-Making and Game-Theoretic Optimization; Data-Driven Modeling and Scientific Computing; Matrix Computation and Data Analytics; Numerical Analysis and Scientific Computing

All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of ISBDAS 2027 will be published in IEEE (ISBN:979-8-3195-8013-9) and will be submittedto EI Compendex, Scopus for indexing.
*ISBDAS 2019:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2020:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2021:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2022:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2023:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2024:JPCS | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2025:IEEE | Cover | EI Indexing | Scopus Indexing
*ISBDAS 2026:IEEE | Cover | EI Indexing | Scopus Indexing
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
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广财数智治理创新研究院 |